[Docs]: Add whisper word level timestamps #3231
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Pull request overview
This PR adds documentation and examples for word-level timestamp prediction in Whisper speech recognition, enhancing the existing timestamp capabilities.
Changes:
- Added word-level timestamps feature to the speech recognition use case overview
- Documented word-level timestamp prediction with Python and C++ code examples
- Updated Python and C++ sample code to demonstrate word-level timestamp usage
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Copilot reviewed 4 out of 4 changed files in this pull request and generated 1 comment.
| File | Description |
|---|---|
| site/src/pages/_sections/UseCasesSection/components/speech-recognition.tsx | Added word-level timestamps as a new feature in the UI component |
| site/docs/use-cases/speech-recognition/_sections/_usage_options/index.mdx | Added comprehensive documentation section explaining word-level timestamp prediction with code examples |
| samples/python/whisper_speech_recognition/whisper_speech_recognition.py | Updated Python sample to enable and demonstrate word-level timestamp output |
| samples/cpp/whisper_speech_recognition/whisper_speech_recognition.cpp | Updated C++ sample to enable and demonstrate word-level timestamp output |
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site/docs/use-cases/speech-recognition/_sections/_usage_options/index.mdx
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| # x86_64 macOS does not (and will not) support newer versions of torch > 2.2 which are used in the newer transformers versions. It's not possible to lower transformer version in requirements.txt because that triggers vulnerability alert: https://github.com/openvinotoolkit/openvino_tokenizers/security/dependabot/11 | ||
| - run: python -m pip install "transformers<4.52" | ||
| # - run: python -m pip install "transformers<4.52" |
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The comment explaining the transformers version constraint (lines 605-607) should be removed or updated since the pip install command is now commented out. The vulnerability and compatibility context no longer applies to active code.
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Description
CVS-179419
CVS-179417
Checklist: